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Books and Theses
- 2015
[b1]Kenneth O. Stanley, Joel Lehman:
Why Greatness Cannot Be Planned - The Myth of the Objective. Springer 2015, ISBN 978-3-319-15523-4, pp. 1-135
Journal Articles
- 2021
- [j14]Adrien Ecoffet
, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
First return, then explore. Nat. 590(7847): 580-586 (2021) - 2020
- [j13]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26(2): 274-306 (2020) - 2019
- [j12]Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen:
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1(1): 24-35 (2019) - [j11]Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen:
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework. ACM Trans. Cyber Phys. Syst. 3(2): 14:1-14:29 (2019) - 2016
- [j10]Joel Lehman, Bryan Wilder, Kenneth O. Stanley:
On the Critical Role of Divergent Selection in Evolvability. Frontiers Robotics AI 3: 45 (2016) - [j9]Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley:
Petalz: Search-Based Procedural Content Generation for the Casual Gamer. IEEE Trans. Comput. Intell. AI Games 8(3): 244-255 (2016) - 2015
- [j8]Joel Lehman, Kenneth O. Stanley:
Investigating Biological Assumptions through Radical Reimplementation. Artif. Life 21(1): 21-46 (2015) - [j7]Joel Lehman:
Patricia Vargas, Ezequiel Di Paolo, Inman Harvey, and Phil Husbands (eds), The Horizons of Evolutionary Robotics, The MIT Press, 2014, ISBN: 978-0-262-02676-5, Hardcover book, 302 pages. Genet. Program. Evolvable Mach. 16(3): 393-395 (2015) - 2014
- [j6]Gully Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales, Sebastian Risi, Joel Lehman, Jeff Clune, Christian Lebiere, Paul S. Rosenbloom, Frank van Harmelen, James A. Hendler, Pascal Hitzler, Krzysztof Janowicz, Samarth Swarup:
Reports on the 2013 AAAI Fall Symposium Series. AI Mag. 35(2): 69-74 (2014) - [j5]Joel Lehman, Jeff Clune, Sebastian Risi:
An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI. IEEE Intell. Syst. 29(6): 56-62 (2014) - [j4]Matthew J. Hausknecht, Joel Lehman, Risto Miikkulainen, Peter Stone:
A Neuroevolution Approach to General Atari Game Playing. IEEE Trans. Comput. Intell. AI Games 6(4): 355-366 (2014) - 2013
- [j3]Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley:
Encouraging reactivity to create robust machines. Adapt. Behav. 21(6): 484-500 (2013) - [j2]Joel Lehman, Risto Miikkulainen:
Neuroevolution. Scholarpedia 8(6): 30977 (2013) - 2011
- [j1]Joel Lehman, Kenneth O. Stanley:
Abandoning Objectives: Evolution Through the Search for Novelty Alone. Evol. Comput. 19(2): 189-223 (2011)
Conference and Workshop Papers
- 2024
- [c51]Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. ICLR 2024 - [c50]Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR 2024 - [c49]Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman:
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization. ICML 2024 - 2023
- [c48]Herbie Bradley, Honglu Fan, Theodoros Galanos, Ryan Zhou, Daniel Scott, Joel Lehman:
The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms. GPTP 2023: 177-201 - 2021
- [c47]Adrien Ecoffet, Joel Lehman:
Reinforcement Learning Under Moral Uncertainty. ICML 2021: 2926-2936 - 2020
- [c46]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. ECAI 2020: 992-1001 - [c45]Joel Simon, Joel Lehman:
Antimander: open source detection of gerrymandering though multi-objective evolutionary algorithms. GECCO Companion 2020: 51-52 - [c44]Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. ICML 2020: 9206-9216 - [c43]Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley:
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. ICML 2020: 9940-9951 - [c42]Adrien Ecoffet, Jeff Clune, Joel Lehman:
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. ALIFE 2020: 27-35 - 2019
- [c41]Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman:
Evolvability ES: scalable and direct optimization of evolvability. GECCO 2019: 107-115 - [c40]Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley:
POET: open-ended coevolution of environments and their optimized solutions. GECCO 2019: 142-151 - [c39]Joel Lehman:
Evolutionary Computation and AI Safety - Research Problems Impeding Routine and Safe Real-World Application of Evolution. GPTP 2019: 181-200 - [c38]Bart Bussmann, Jacqueline Heinerman, Joel Lehman:
Towards Empathic Deep Q-Learning. AISafety@IJCAI 2019 - [c37]Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI 2019: 3260-3267 - [c36]Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng:
Learning Belief Representations for Imitation Learning in POMDPs. UAI 2019: 1061-1071 - 2018
- [c35]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
Safe mutations for deep and recurrent neural networks through output gradients. GECCO 2018: 117-124 - [c34]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
ES is more than just a traditional finite-difference approximator. GECCO 2018: 450-457 - [c33]Joel Lehman, Jeff Clune, Dusan Misevic:
The Surprising Creativity of Digital Evolution. ALIFE 2018: 55-56 - [c32]Joel Lehman, Kenneth O. Stanley:
On the Potential Benefits of Knowing Everything. ALIFE 2018: 558-565 - [c31]Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS 2018: 5032-5043 - [c30]Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski:
An intriguing failing of convolutional neural networks and the CoordConv solution. NeurIPS 2018: 9628-9639 - 2017
- [c29]Joel Lehman:
Precomputation for rapid hypothesis generation in evolutionary robotics. GECCO (Companion) 2017: 67-68 - [c28]Joel Lehman:
Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics. GECCO (Companion) 2017: 1479-1486 - 2016
- [c27]Arend Hintze, Randal S. Olson, Joel Lehman:
Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games. EvoApplications (1) 2016: 525-540 - [c26]Jacob Schrum, Joel Lehman, Sebastian Risi:
Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. GECCO (Companion) 2016: 21-22 - [c25]Henok Mengistu, Joel Lehman, Jeff Clune:
Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It. GECCO 2016: 141-148 - [c24]Elliot Meyerson, Joel Lehman, Risto Miikkulainen:
Learning Behavior Characterizations for Novelty Search. GECCO 2016: 149-156 - [c23]Joel Lehman, Sebastian Risi, Jeff Clune:
Creative Generation of 3D Objects with Deep Learning and Innovation Engines. ICCC 2016: 180-187 - 2015
- [c22]Diana F. Galvao, Joel Lehman, Paulo Urbano:
Novelty-Driven Particle Swarm Optimization. Artificial Evolution 2015: 177-190 - [c21]Joel Lehman, Risto Miikkulainen:
Enhancing Divergent Search through Extinction Events. GECCO 2015: 951-958 - [c20]Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen:
Tradeoffs in Real-Time Robotic Task Design with Neuroevolution Learning for Imprecise Computation. RTSS 2015: 206-215 - 2014
- [c19]Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis:
Grasping novel objects with a dexterous robotic hand through neuroevolution. CICA 2014: 125-132 - [c18]Joel Lehman, Risto Miikkulainen:
Overcoming deception in evolution of cognitive behaviors. GECCO 2014: 185-192 - 2013
- [c17]Joel Lehman, Kenneth O. Stanley:
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation. AAAI Fall Symposia 2013 - [c16]Sebastian Risi, Joel Lehman, Jeff Clune:
Organizing Committee. AAAI Fall Symposia 2013 - [c15]Sebastian Risi, Joel Lehman, Jeff Clune:
Preface. AAAI Fall Symposia 2013 - [c14]Joel Lehman, Kenneth O. Stanley, Risto Miikkulainen:
Effective diversity maintenance in deceptive domains. GECCO 2013: 215-222 - [c13]Joel Lehman, Risto Miikkulainen:
Boosting Interactive Evolution Using Human Computation Markets. TPNC 2013: 1-18 - 2012
- [c12]Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley:
Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game. AIIDE 2012 - [c11]Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley:
Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise. ALIFE 2012 - [c10]Joel Lehman, Kenneth O. Stanley:
Beyond Open-endedness: Quantifying Impressiveness. ALIFE 2012 - [c9]David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Multirobot Behavior Synchronization through Direct Neural Network Communication. ICIRA (2) 2012: 603-614 - 2011
- [c8]Joel Lehman, Kenneth O. Stanley:
Improving evolvability through novelty search and self-adaptation. IEEE Congress on Evolutionary Computation 2011: 2693-2700 - [c7]Joel Lehman, Kenneth O. Stanley:
Evolving a diversity of virtual creatures through novelty search and local competition. GECCO 2011: 211-218 - [c6]David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Task switching in multirobot learning through indirect encoding. IROS 2011: 2802-2809 - 2010
- [c5]David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley:
Evolving policy geometry for scalable multiagent learning. AAMAS 2010: 731-738 - [c4]Joel Lehman, Kenneth O. Stanley:
Revising the evolutionary computation abstraction: minimal criteria novelty search. GECCO 2010: 103-110 - [c3]Sebastian Risi, Joel Lehman, Kenneth O. Stanley:
Evolving the placement and density of neurons in the hyperneat substrate. GECCO 2010: 563-570 - [c2]Joel Lehman, Kenneth O. Stanley:
Efficiently evolving programs through the search for novelty. GECCO 2010: 837-844 - 2008
- [c1]Joel Lehman, Kenneth O. Stanley:
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty. ALIFE 2008: 329-336
Informal and Other Publications
- 2024
- [i30]Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika:
The Ethics of Advanced AI Assistants. CoRR abs/2404.16244 (2024) - 2023
- [i29]Joel Lehman:
Machine Love. CoRR abs/2302.09248 (2023) - [i28]Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Arash Moradi, Amy K. Hoover, Joel Lehman:
Language Model Crossover: Variation through Few-Shot Prompting. CoRR abs/2302.12170 (2023) - [i27]Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR abs/2306.01711 (2023) - [i26]Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman:
Quality Diversity through Human Feedback. CoRR abs/2310.12103 (2023) - [i25]Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. CoRR abs/2310.13032 (2023) - 2022
- [i24]Joel Lehman, Jonathan Gordon, Shawn Jain, Kamal Ndousse, Cathy Yeh, Kenneth O. Stanley:
Evolution through Large Models. CoRR abs/2206.08896 (2022) - 2020
- [i23]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. CoRR abs/2002.09571 (2020) - [i22]Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley:
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. CoRR abs/2003.08536 (2020) - [i21]Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
First return then explore. CoRR abs/2004.12919 (2020) - [i20]Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley:
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR abs/2005.13092 (2020) - [i19]Adrien Ecoffet, Joel Lehman:
Reinforcement Learning Under Moral Uncertainty. CoRR abs/2006.04734 (2020) - [i18]Adrien Ecoffet, Jeff Clune, Joel Lehman:
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. CoRR abs/2006.07495 (2020) - [i17]Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe:
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. CoRR abs/2007.10546 (2020) - 2019
- [i16]Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley:
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. CoRR abs/1901.01753 (2019) - [i15]Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Go-Explore: a New Approach for Hard-Exploration Problems. CoRR abs/1901.10995 (2019) - [i14]Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng:
Learning Belief Representations for Imitation Learning in POMDPs. CoRR abs/1906.09510 (2019) - [i13]Joel Lehman:
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution. CoRR abs/1906.10189 (2019) - [i12]Bart Bussmann, Jacqueline Heinerman, Joel Lehman:
Towards Empathic Deep Q-Learning. CoRR abs/1906.10918 (2019) - [i11]Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman:
Evolvability ES: Scalable and Direct Optimization of Evolvability. CoRR abs/1907.06077 (2019) - [i10]Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR abs/1912.07768 (2019) - 2018
- [i9]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR abs/1803.03453 (2018) - [i8]Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski:
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution. CoRR abs/1807.03247 (2018) - [i7]Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR abs/1812.07069 (2018) - 2017
- [i6]Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR abs/1712.06560 (2017) - [i5]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients. CoRR abs/1712.06563 (2017) - [i4]Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR abs/1712.06567 (2017) - [i3]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
ES Is More Than Just a Traditional Finite-Difference Approximator. CoRR abs/1712.06568 (2017) - 2016
- [i2]Jacob Schrum, Joel Lehman, Sebastian Risi:
Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior. CoRR abs/1604.07806 (2016) - 2013
- [i1]Joel Lehman, Kenneth O. Stanley:
Evolvability Is Inevitable: Increasing Evolvability Without the Pressure to Adapt. CoRR abs/1302.1143 (2013)
Coauthor Index
Jeff Clune
aka: Jeffrey Clune
aka: Jeffrey Clune
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